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Python Pandas Exercises

Pandas Datetime: Create a graphical analysis of UFO sighted by month

Pandas Datetime: Exercise-21 with Solution

Write a Pandas program to create a graphical analysis of UFO (unidentified flying object) sighted by month.

Sample Solution:

Python Code:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv(r'ufo.csv')
df['Date_time'] = df['Date_time'].astype('datetime64[ns]')
df["ufo_yr"] = df.Date_time.dt.month
months_data = df.ufo_yr.value_counts()
months_index = months_data.index  # x ticks
months_values = months_data.get_values()
plt.figure(figsize=(15,8))
plt.xticks(rotation = 60)
plt.title('UFO sighted by Month')
plt.xlabel("Months")
plt.ylabel("Number of sighting")
months_plot = sns.barplot(x=months_index[:60],y=months_values[:60], palette = "Oranges")

Sample Output:

Graphical analysis of distribution of UFO

Python Code Editor:


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Next: Write a Pandas program to create a comparison of the top 10 years in which the UFO was sighted vs the hours of the day.

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